---
title: "Exploratory Data Analysis(EDA)on Biological Data: A Hands-On Guide"
url: https://daily.dev/posts/exploratory-data-analysis-eda-on-biological-data-a-hands-on-guide-p0jibxjt3
source_url: https://medium.com/mlearning-ai/predicting-the-protein-structure-resolution-using-decision-tree-855cbdf49cf7
type: article
source: "Medium"
published: 2024-02-07T14:42:18.398Z
updated: 2024-05-09T08:43:33.910Z
tags: ["data-science", "data-analysis", "data-visualization", "exploratory-data-analysis"]
reading_time: 7
upvotes: 2
comments: 0
language: en
---

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# Exploratory Data Analysis(EDA)on Biological Data: A Hands-On Guide

**[Medium](https://daily.dev/sources/medium_js)** · 7 min read · 2 upvotes · 0 comments

## Summary

This post provides a hands-on guide for performing exploratory data analysis (EDA) on a biological protein structure data set. EDA is a crucial first step in any data science project and provides insights that help make better decisions in data cleaning, feature selection, and model evaluation. The post covers topics such as feature selection, handling missing values, data distribution, data validation, and categorical data cleaning.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/mlearning-ai/predicting-the-protein-structure-resolution-using-decision-tree-855cbdf49cf7>

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---

Tags: [#data-science](https://daily.dev/tags/data-science), [#data-analysis](https://daily.dev/tags/data-analysis), [#data-visualization](https://daily.dev/tags/data-visualization), [#exploratory-data-analysis](https://daily.dev/tags/exploratory-data-analysis)

[View this post on daily.dev](https://daily.dev/posts/exploratory-data-analysis-eda-on-biological-data-a-hands-on-guide-p0jibxjt3)